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Releases: Saganaki22/Supertonic_3_TTS_App

0.1.4

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@Saganaki22 Saganaki22 released this 27 May 03:21

Supertonic 3 TTS App v0.1.4

On-device neural text-to-speech for Windows. No cloud, no API keys, no data leaves your machine.

Downloads

File Description
supertonic-3-tts-app_v0.1.4_x64-setup.exe Portable NSIS installer - no UAC, no registry, no admin required
supertonic-3-tts-app_v0.1.4_x64-portable.exe Standalone portable executable (~7.3 MB, UPX compressed)

Requirements

  • Windows 10/11 (x64)
  • WebView2 (pre-installed on Windows 11; Windows 10 may prompt to install)
  • Internet connection on first run (to download ONNX models from HuggingFace - cached locally after)

What's New in v0.1.4

  • Multi-threaded CPU inference support using ONNX Runtime Web, WASM threads, and SharedArrayBuffer
  • CPU mode now auto-detects logical CPU threads from the native Tauri backend
  • CPU usage slider added in Settings - choose 10% to 100% CPU usage, default 75%
  • App volume slider added in Settings - default 80%, applies to generated audio, history playback, and voice previews
  • GPU and CPU production loading fixed by bundling ONNX Runtime Web .mjs and .wasm assets at stable paths
  • Generated audio panel redesigned with clearer playback, waveform, stats, WAV save, MP3 save, and bitrate controls
  • Saved WAV and MP3 filenames now include date/time to prevent overwriting previous exports
  • Audio history behavior fixed - current generation stays in the main view, previous generations move into history
  • History now shows up to 6 previous generations
  • Playback bug fixed where the main player could play the previous generation after unloading and generating new text
  • "Normalize audio" renamed to "Normalize output"
  • CPU UI freeze warning removed from all languages
  • Version updated to v0.1.4 in app footer, settings, package metadata, and installer metadata
  • English and Chinese READMEs updated with the new CPU threading, usage slider, volume, export, and history behavior

Features

  • 10 built-in English voices - 5 female (F1-F5) and 5 male (M1-M5)
  • Custom voice cloning - load .json voice style embeddings trained with supertonic_embeddings_trainer
  • GPU acceleration - WebGPU with automatic CPU fallback
  • Multi-threaded CPU fallback - WASM SIMD + SharedArrayBuffer with adjustable CPU usage
  • File input - .txt, .pdf, .docx, .md (up to 20 MB)
  • Steps control - 5 (speed) to 16 (quality)
  • Speed control - 0.5x to 2.0x
  • Normalize output - peak normalization toggle (playback, history, downloads)
  • Waveform seekbar - click to seek during playback
  • Audio history - current generation plus up to 6 previous generations with metadata
  • Export - timestamped WAV or MP3 (128 / 192 / 320 kbps)
  • App volume control - 0% to 100%
  • Dark / Light theme with 5 accent colors
  • Resizable two-column layout with UI scaling (80%-150%)
  • 7 UI languages - English, 中文, Español, Français, Ελληνικά, Русский, 日本語
  • SHA-256 verified model downloads

Powered by

  • Supertone Supertonic 3 - neural TTS engine
  • HuggingFace Supertone/supertonic-3 - ONNX models (OpenRAIL-M License)
  • Tauri 2 + React 19 + ONNX Runtime Web

0.1.3

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@Saganaki22 Saganaki22 released this 26 May 23:31

Supertonic 3 TTS App v0.1.3

On-device neural text-to-speech for Windows. No cloud, no API keys, no data leaves your machine.

Downloads

File Description
supertonic-3-tts-app_v0.1.3_x64-setup.exe Portable NSIS installer — no UAC, no registry, no admin required
supertonic-3-tts-app_v0.1.3_x64-portable.exe Standalone portable executable (~7.2 MB, UPX compressed)

Requirements

  • Windows 10/11 (x64)
  • WebView2 (pre-installed on Windows 11; Windows 10 may prompt to install)
  • Internet connection on first run (to download ONNX models from HuggingFace — cached locally after)

What's New in v0.1.3

  • 7 UI languages — English, 中文, Español, Français, Ελληνικά, Русский, 日本語 (selectable in Settings)
  • Normalize audio now applies to history playback, WAV download, and MP3 download (not just the output player)
  • Voice clone tooltip redesigned — shorter link text, stays within panel bounds
  • App renamed to Supertonic 3 TTS App across all UI, installer, window title, and repo branding
  • GitHub links updated to Saganaki22/Supertonic_3_TTS_App
  • Custom voice ? link now points to supertonic_embeddings_trainer
  • WAV download now applies normalize audio setting
  • Language dropdown in settings matches app theme (dark/light)
  • Version displayed correctly as v0.1.3 in footer and settings

Features

  • 10 built-in English voices — 5 female (F1–F5) and 5 male (M1–M5)
  • Custom voice cloning — load .json voice style embeddings trained with supertonic_embeddings_trainer
  • GPU acceleration — WebGPU with automatic CPU (WASM SIMD) fallback
  • File input — .txt, .pdf, .docx, .md (up to 20 MB)
  • Steps control — 5 (speed) to 16 (quality)
  • Speed control — 0.5× to 2.0×
  • Audio normalization — peak normalization toggle (playback, history, downloads)
  • Waveform seekbar — click to seek during playback
  • Audio history — last 10 generations with metadata
  • Export — WAV or MP3 (128 / 192 / 320 kbps)
  • Dark / Light theme with 5 accent colors
  • Resizable two-column layout with UI scaling (80%–150%)
  • SHA-256 verified model downloads

Powered by

0.1.2

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@Saganaki22 Saganaki22 released this 26 May 22:29

Supertonic 3 TTS App v0.1.2

On-device neural text-to-speech for Windows. No cloud, no API keys, no data leaves your machine.

Downloads

File Description
Supertonic.3.TTS.App_v0.1.2_x64-setup.exe NSIS installer — no UAC, no registry, no admin required
supertonic-3-tts-app_v0.1.2_x64-portable.exe Standalone portable executable (~7.2 MB, UPX compressed)

Requirements

  • Windows 10/11 (x64)
  • WebView2 (pre-installed on Windows 11; Windows 10 may prompt to install)
  • Internet connection on first run (to download ONNX models from HuggingFace — cached locally after)

Features

  • 10 built-in English voices — 5 female (F1–F5) and 5 male (M1–M5)
  • Custom voice cloning — load .json voice style embeddings trained with supertonic_embeddings_trainer
  • GPU acceleration — WebGPU with automatic CPU (WASM SIMD) fallback
  • File input — .txt, .pdf, .docx, .md (up to 20 MB)
  • Steps control — 5 (speed) to 16 (quality)
  • Speed control — 0.5× to 2.0×
  • Audio normalization — peak normalization toggle (playback, history, downloads)
  • Waveform seekbar — click to seek during playback
  • Audio history — last 10 generations with metadata
  • Export — WAV or MP3 (128 / 192 / 320 kbps)
  • Dark / Light theme with 5 accent colors
  • Resizable two-column layout with UI scaling (80%–150%)
  • SHA-256 verified model downloads

Powered by